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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
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dc.contributor.advisor | 郭瑞祥,蔣明晃 | |
dc.contributor.author | Mei-Shian Guo | en |
dc.contributor.author | 郭美嫺 | zh_TW |
dc.date.accessioned | 2021-06-13T01:06:16Z | - |
dc.date.available | 2007-08-02 | |
dc.date.copyright | 2007-08-02 | |
dc.date.issued | 2007 | |
dc.date.submitted | 2007-07-24 | |
dc.identifier.citation | [1] 林宏文, 「以前端為主之半導體供應鏈多層級存貨監控機制」, 國立台灣大學工業工程學研究所碩士班論文, 2007
[2] 莊貴惠, 「半導體供應鏈多層級存貨監控機制」, 國立台灣大學工業工程學研究所碩士班論文, 2005 [3] 陳正邦, 「半導體供應鏈路徑配置多目標最佳化模式之敏感度分析」, 國立台灣大學工業工程學研究所碩士班論文, 2005 [4] 楊博鈞, 「運用CONWIP概念於半導體供應鏈多層級存貨監督機制」, 國立台灣大學工業工程學研究所碩士班論文, 2006 [5] 鄭孟哲, 「半導體供應鏈路徑配置之多目標最佳化模式」, 國立台灣大學工業工程學研究所碩士班論文, 2005 [6] 王惠嘉, 陳怡聖「整合數學模式與系統模擬以求得供應鏈系統最佳批量大小之研究」,工業工程學刊22卷3期, (2005), 262-271 [7] Anne M. Spence and Douglas J. Welter, “Capacity planning for semiconductor wafer fabrication with time constraints between operations”, IEEE, (1987), 702-708 [8] Asmundsson, J., Rardin, R. L., and Uzsoy, R., “Tractable nonlinear production planning models for semiconductor wafer fabrication facilities,” IEEE Transactions on Semiconductor Manufacturing, 19, 1, (2006), 95-111 [9] Barahona, M., Doherty, A.C., Sznaier, M., Mabuchi, H., and Doyle, J.C., “Finite horizon model reduction and the appearance of dissipation in Haniltonian systems,” Proceedings of the 41st IEEE Conference on Decision and Control, 4, (2002), 4563-4568 [10] Bitran, B.R., and Tirupati, B. , “Tradeoff Curves, Targeting and Balancing in Manufacturing Queueing Networks.”, Operations Research, 37, 4, 547-56 [11] Chen, C. Y. J., George, E. I., and Tardif, V., “A Bayesian model of cycle time prediction,” IIE Transactions, 33, (2001), 921-930 [12] Clark, A. J., and Scarf, H., “Optimal policies for a multi-echelon inventory problem,” Management Science, 6, (1960), 475-490 [13] Christopher, M, “The agile supply chain”, Industrial Marketing Management, (2000) 37-44 [14] Fisher, M., Hammond, J., Obermeyer, W., Raman, R., “Configuring a supply chain to reduce the cost of demand uncertainty”, Production and Operations Management, 6, 3, (1997), 211-225 [15] Fowler, J.W., “Efficient cycle time-throughput curve generation using a fixed sample size procedure”, International Journal of Production Research, (2001), 39, 12, 2595-2613 [16] Gaonkar, R. and Viswanadham, N., “Mechatronics”, IEEE/ASME Transactions, (2001), 366-376 [17] Gavirneni, S., “Supply chain management at a chip tester manufacturer,” The Practice of Supply Chain Management: Where Theory and Application Converge edited by Harrison, T., Lee, H., Billington, C., and Neale. J., Massachusetts: Kluwer Academic Publishers, (2003) [18] Glassey, C. R., and Petrakian, R. G.., “The use of bottleneck starvation avoidance with queue predictions in shop floor control,” Simulation Conference Proceedings, Winter, (1989), 908-917 [19] Hopp, W. J., and Roof, M. L., “Setting WIP levels with statistical throughput control (STC) in CONWIP production lines”, 36,4, (1998), 867-882 [20] Johnishi, S., Ozawa, K., and Satoh, N., “Dynamic x-factor application for optimizing lot control for agile manufacturing,” Proceedings of the 2002 International Symposium on Semiconductor Manufacturing, Tokyo, Japan, [21] Karmakar, U. S., “Capacity loading and release planning with work-in-process (WIP) and leadtimes,” Journal of Manufacturing Operation Management, 2, (1989), 105-123 [22] Kingsman, B., and Hendry, L., “The relative contributions of input and output controls on the performance of a workload control system in make-to-order companies,” Production Planning & Control, 13, 7, (2002), 579-590 [23] Lagodimos, A.G.., De Kok, A.G.., and Verrijdt, J.H.C.M., ”The robustness of multi-echelon service models under autocorrelated demands,” The Journal of the Operational Research Society, 46, 1, (1995), 92-103 [24] Leachman, R. C., Benson, R. F., Liu, C., and Raar, D. J., “IMPReSS: an automated production-planning and delivery-quotation system at Harris corporation - semiconductor sector,” Interfaces, 26, 1, (1996), 6-37 [25] Mackulak, G.T., Fowler, J. W., Park,S., McNeill, JE., “A three-phase simulation methodology for generating accurate and precise cycle timethroughput curves”, International Journal of Simulation and Process Modelling, (2005), 35-48 [26] Martin, D.P., ”The advantages of using short cycle time manufacturing (SCM) instead of continuous flow manufacturing (CFM),” Advanced Semiconductor Manufacturing Conference and Workshop, (1998), 43-49 [27] Ovalle, O.R., and Marquez, A.C., “Exploring the utilization of a CONWIP system for supply chain management. A comparison with fully integrated supply chains,” International Journal of Production Economics, 83, (2003), 195-215 [28] Sturm, R., Frauenhoffer, F., and Dorner, J., “Advance WIP control for make-to-order wafer fabrications,” Advanced Semiconductor Manufacturing Conference, (1999), 31-36 [29] Supply Chain Council, “Supply chain operation model v. 6.1,” (2004) [30] Wallace J. Hopp, Mark L. Spearman. Irwin/McGraw-Hill, Burr Ridge, IL: Irwin, Factory Physics: Foundations of Manufacturing Management, (1996), 271-310 [31] Wu, K, “An Examination of Variability and Its Basic Properties for a Factory”, IIE Transactions, 18, 1, (2005), 214-221 | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/29404 | - |
dc.description.abstract | 由於企業競爭日益激烈,企業與其他企業的整合越趨重要,但是每條供應鏈中各成員所擁有的權力大小並不相同,且目標常以自身利潤極大化為主,而不以整條供應鏈之效益極大化為目標,造成供應鏈的績效不佳,且難以進行監控,另外,產能利用率和其他績效因素有交互關係,因此過高或過低的產能利用率對企業皆有不良影響,因此,在考量產能限制下,在以滿足顧客服務水準為目標下,供應鏈中須共享資訊,進行有效整合,提升顧客滿意度以及整體供應鏈效率。
本研究應用層級存貨(Echelon inventory)觀點以及CONWIP系統概念於供應鏈,以建構一供應鏈監控機制。本研究先以達到服務水準目標為前提,考量生產特性和CONWIP控制對在製存貨量的影響,並且探討產能利用率、生產週期以及在製存貨量之間關係,再分別以前端和後端成員為主之角度,建立多層級存貨監控模式,建構最小化供應鏈二層級在製存貨模型;再以遞迴求解以及提高內部層級的服務水準之概念發展之演算法,並在以後端為主之模式中,以二元搜尋法找尋適當的內部服務水準,將二層級的模式擴展至多層級,得到多層級在製存貨上界。且利用求解模型所得到之各層級在製存貨上界作為監控指標,經由模擬驗證本研究所設定的多層級在製存貨監督上界之有效性。經由模擬驗證的結果有下列結論: (1)藉由本研究提出以遞迴求解發展之演算法,可有效得到多層級的在製存貨上界,以後端為主之供應鏈在製存貨上界略大於以階段觀點得到之上界,以前端為主之供應鏈,則小於以階段為主所得之上界; (2)相較於過去研究,本研究考量產能之限制下,以層級在製存貨取代階段在製存貨作為監督上界,使整體供應鏈系統能在不增加過多在製存貨量的情況下,得到較佳的服務水準。主要的原因為系統中在製存貨配置之不同,以及利用整體的資訊來進行規劃所致。 | zh_TW |
dc.description.abstract | With fiercer and fiercer competition, the integration among the enterprises is getting more and more important. The power which the members owned in the supply chain is not equal and the goals of the members of supply chain always pursue for their own profits, not the profits of whole supply chain. As a result, this leads to poor performance of supply chain. Besides, capacity utilization effects on some other performance indexes with each other. Too high or low capacity utilization makes negative effects. Therefore, considering capacity limitation, in order to enhance the service levels and improve the performance of the whole supply chain, it is essential for all members to share their information and synchronize their operations.
This research attempts to develop a supply chain monitoring scheme based on the concepts of echelon WIP inventory and CONWIP system. The first step in the proposed scheme is to construct a two-echelon model which takes the features of the production system into consideration with the goal of minimizing the echelon WIP inventory control limits of the supply chain under the service level constraints. Next, the model is extended to a multi-echelon model through raising the service levels of the internal echelons and solving the model iteratively. The algorithm searches the proper internal service level with the concept of binary search. With the resulting echelon WIP inventory control limits from the model, the proposed monitoring scheme has been validated through simulation study. Based on the simulation validation results, the conclusions are drawn as follows: (1) By raising the service levels of internal echelons, the proposed scheme can effectively derive the multi-echelon WIP inventory limits, which is lower than the stage-based WIP inventory limits of the supply chain which is predominated by the back-end members but higher than the front-end members; (2) Compared to the traditional stage-based inventory monitoring scheme, the proposed echelon-based monitoring scheme can obtain a higher service level under the lower inventory levels. This is the result of reallocating of the WIP limits and the utilizing of overall information. | en |
dc.description.provenance | Made available in DSpace on 2021-06-13T01:06:16Z (GMT). No. of bitstreams: 1 ntu-96-R94546020-1.pdf: 652272 bytes, checksum: 26827e65d1310f02dc40931048b177e2 (MD5) Previous issue date: 2007 | en |
dc.description.tableofcontents | 中文摘要…………………………………………………………i
英文摘要…………………………………………………………ii 圖目錄…………………………………………………………………vi 表目錄…………………………………………………………………viii 第1章 緒論…………………………………………………………1 1.1. 研究背景 1 1.2. 研究動機 5 1.3. 研究目的 10 1.4. 研究架構 11 1.5. 論文架構 12 第2章 文獻探討……………………………………………………13 2.1. 供應鏈整合 13 2.2. 生產監控指標 15 2.3. 供應鏈層級存貨管理 17 2.4. 產能利用率、生產週期與在至存貨之關係 18 2.5. 小結 21 第3章 模式建構與求解……………………………………………23 3.1. 問題描述 23 3.2. 後端主導之多層級模式 25 3.2.1. 環境描述與條件假設 25 3.2.2. 二層級模式建立 27 3.2.2.1. 符號說明 27 3.2.2.2. 二層級數學模式 28 3.2.3. 二層級模式修正 30 3.2.3.1. 生產週期估計 31 3.2.3.2. 產能利用率與生產週期關係估計 34 3.2.3.3. 考量生產特性及受CONWIP影響之在製存貨量 36 3.2.4. 二層級模式修正結果 42 3.2.5. 二層級模式求解 43 3.2.6. 多層級模式求解 48 3.2.7. 利用求得之在製存貨上界作為監控指標 51 3.3. 前端主導之多層級模式 53 3.3.1. 環境描述與條件假設 53 3.3.2. 二層級模式建立 55 3.3.2.1. 符號說明 55 3.3.2.2. 二層級數學模式 56 3.3.3. 二層級模式求解 59 3.3.4. 利用求得之在製存貨上界作為監控指標 64 第4章 模式驗證及數值範例 65 4.1. 模式驗證 65 4.1.1. 以後端為主之模式 65 4.1.1.1. 環境參數設定及求解設定 65 4.1.1.2. 模式求解 67 4.1.2. 以前端為主之模式 70 4.1.2.1. 環境參數設定及求解設定 70 4.1.2.2. 模式求解 72 4.2. 模擬驗證 75 4.2.1. 模擬設定 75 4.2.2. 層級觀點與階段觀點監督與控制之模擬驗證比較 75 4.2.2.1. 以後端為主之模式 75 4.2.2.2. 以前端為主之模式 77 4.3. 小結 80 第5章 結論與未來研究方向 82 5.1. 研究結論與貢獻 82 5.2. 研究限制與未來研究方向 84 參考文獻………………………………………………………………95 | |
dc.language.iso | zh-TW | |
dc.title | 考量產能限制之供應鏈層級存貨監督機制 | zh_TW |
dc.title | Supply Chain Monitoring Schemes for Echelon WIP Inventory Considering Capacity Limitation | en |
dc.type | Thesis | |
dc.date.schoolyear | 95-2 | |
dc.description.degree | 碩士 | |
dc.contributor.advisor-orcid | ,蔣明晃(cmh@ntu.edu.tw) | |
dc.contributor.oralexamcommittee | 陳靜枝,黃漢邦 | |
dc.subject.keyword | 供應鏈,產能利用率,層級在製存貨,CONWIP, | zh_TW |
dc.subject.keyword | Supply Chain,Capacity Utilization,Echelon WIP Inventory,CONWIP, | en |
dc.relation.page | 88 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2007-07-24 | |
dc.contributor.author-college | 工學院 | zh_TW |
dc.contributor.author-dept | 工業工程學研究所 | zh_TW |
顯示於系所單位: | 工業工程學研究所 |
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